o TÃiöã@s`ddlZddlmZddlmZmZdejdededejfd d „Zd edededefd d „Z dS)éNé)Ú ShardingType)Ú shard_paramÚget_shard_endpointsÚparamÚ shard_rankÚ num_shardsÚreturncCst|tj||ƒS)aN Utility method for sharding an embedding parameter. Args: param (torch.Tensor): The parameter to shard. Should be of shape [vocab_size, model_dim] shard_rank (int): Which shard of the partitioned tensor to return. num_shards (int): The total number of shards the parameter is distributed across. )rrÚINNER_DIMENSION)rrr©r ús/home/ubuntu/.local/lib/python3.10/site-packages/deepspeed/inference/v2/model_implementations/sharding/embedding.pyÚshard_embedding_param s r Úembedding_sizecCst|||ƒ\}}||S)aI Utility method for getting the size of the embedding dimension of a sharded embedding. Args: embedding_size (int): The size of the embedding. shard_rank (int): Which shard of the partitioned tensor to return. num_shards (int): The total number of shards the parameter is distributed across. )r)rrrÚ start_idxÚend_idxr r r Úsharded_embedding_dims r) ÚtorchÚtypesrÚutilsrrÚTensorÚintr rr r r r Ús